Short description

The development of intelligent behaviour depends strongly on active exploration and sensorimotor interactions with the world. However, it is not clear how multimodal sensorimotor temporal and spatial associations could be integrated into a single representation of the self or individual sense of agency or ownership.

What is a sensorimotor self? How can sensorimotor learning ground the development of the self? And what could be the benefits of having an integrated bodily self-model in order to support effective actions in an uncertain world (e.g., through prediction)?

This interdisciplinary workshop brings together roboticists, psychologists and cognitive scientists to address these questions and to discuss the challenges and possibilities arising for building real life robots. The purpose is to: i) shed some light on the development and construction of the sensorimotor self; ii) discuss computational models that use self-perceptive learning as a basis for active interaction and agency inference; and iii) to propose the steps toward future interdisciplinary research regarding the active self concept.